In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Abstract. In recent times, the proliferation of spatial data on the Internet is beginning to allow a much larger audience to access and share data currently available in various Ge...
Alberto Belussi, Omar Boucelma, Barbara Catania, Y...
Temporal aggregation is a crucial operator in temporal databases and has been studied in various flavors. In instant temporal aggregation (ITA) the aggregate value at time instan...
Juozas Gordevicius, Johann Gamper, Michael H. B&ou...
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...